DocumentCode
3239219
Title
Exploiting the cancer and diabetes metabolic connection for therapeutic purposes
Author
Arshad, Osama ; Venkatasubramami, Priyadharshini S. ; Datta, Amitava ; Venkatraj, Jijayanagaram
Author_Institution
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
fYear
2013
fDate
17-19 Nov. 2013
Firstpage
44
Lastpage
44
Abstract
The uncontrolled cell proliferation that is characteristically associated with cancer is usually accompanied by alterations in the genome and cell metabolism. Indeed, the phenomenon of cancer cells metabolizing glucose using a less efficient anaerobic process even in the presence of normal oxygen levels, termed the Warburg effect, is currently considered to be one of the hallmarks of cancer. Diabetes, much like cancer, is defined by significant metabolic changes. Recent epidemiological studies have shown that diabetes patients treated with the anti-diabetic drug Metformin, have significantly lowered risk of cancer as compared to patients treated with other anti-diabetic drugs. We utilize a Boolean logic model of the pathways commonly mutated in cancer to not only investigate the efficacy of Metformin for cancer therapeutic purposes but also demonstrate how Metformin in concert with standard therapeutic drugs could provide better and less toxic clinical outcomes as compared to using chemotherapy alone.
Keywords
Boolean functions; biochemistry; cancer; cellular biophysics; drugs; Boolean logic model; Warburg effect; cancer cells; cancer therapeutic purposes; cancer-diabetes metabolic connection; cell metabolism alterations; genome alterations; glucose metabolism; metformin antidiabetic drug; uncontrolled cell proliferation; Bioinformatics; Breast cancer; Diabetes; Drugs; Educational institutions; Cancer; Metformin; Warburg effect; combination therapy design; diabetes;
fLanguage
English
Publisher
ieee
Conference_Titel
Genomic Signal Processing and Statistics (GENSIPS), 2013 IEEE International Workshop on
Conference_Location
Houston, TX
Print_ISBN
978-1-4799-3461-4
Type
conf
DOI
10.1109/GENSIPS.2013.6735926
Filename
6735926
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